Jun Sun

26 papers receiving 1.4k citations

Jun Sun's Hit Papers

Melatonin Suppresses Ferroptosis Induced by High Glucose via Activation of the Nrf2/HO-1 Signaling Pathway in Type 2 Diabetic Osteoporosis 2020 · 345 citations
3450+2+4Years since publication100200300

Peers

Jun Sun
Comparison fields: 5 of 96
  • Cancer Research 225
  • Geriatrics and Gerontology 49
  • Neurology 110
  • Nephrology 91
  • Rehabilitation 79
Replace Kexin Wang with:
Kexin Wang China
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Yong Pan China
Jung Ok Lee South Korea
Xin Zou China
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Jun Sun relative to Kexin Wang China Kexin Wang's profile →
Citations per field
00.5×2×3.1×
Kexin Wang · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

This map shows the geographic impact of Jun Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Sun. The network helps show where Jun Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Sun Line = papers co-authored together Jun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Melatonin Suppresses Ferroptosis Induced by High Glucose via Activation of the Nrf2/HO-1 Signaling Pathway in Type 2 Diabetic Osteoporosis
Hit paper breakdown →
2020345
2 2011199
3 2012144
4 2021124
5 2013106
6 201873
7 202263
8 201757
9 201947
10 202041
11 202329
12 202529
13 202125
14 202221
15 201819
16 202019
17 202214
18 200912
19 201911
20 201910

About Jun Sun

Jun Sun is a scholar working on Microbiology, Rehabilitation, Cellular and Molecular Neuroscience, Nephrology and Pharmacology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (4 papers), Pharmacological Effects of Natural Compounds (3 papers), Biological and pharmacological studies of plants (3 papers), Skin Protection and Aging (3 papers), Ginseng Biological Effects and Applications (3 papers), MicroRNA in disease regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (225 citations), Geriatrics and Gerontology (49 citations), Neurology (110 citations), Nephrology (91 citations) and Rehabilitation (79 citations). Jun Sun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Maowei Yang, Haitian Li, Hongdong Ma, Xindong Wang, Wei Zhao, Di Lü, Weilin Zhang, Yi Zong, Naixin Liu and Xinwang Yang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry, Acta Biochimica et Biophysica Sinica, PLoS ONE and Neurotoxicity Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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